5 engineering jobs found in London

Scheduling isn't simply filling shifts. It's finding the sweet spot that enables businesses to grow and team members to enjoy the perfect work/life balance. At Planday from Xero, we aim to use Agentic AI to build a future where managers can seamlessly free up invaluable time for their business and teams. We're not just building software: we're on a mission to make shift work more human, to change work/life balance from a luxury to a reality for all shift workers. We're using advanced technology to help humans reach their full potential. At work and in life. Founded in 2004, Planday is headquartered in Copenhagen, Denmark and helps create perfect schedules for hundreds of thousands of users across the world. Are you a Principal Engineer with experience in solving real-world customer problems using predicative and generative AI? At Planday we help build successful businesses and improve the working lives of ordinary people, and we have a job for you.  How...

We are looking for a Senior Machine Learning Engineer to join our Knowledge Enrichment team at BenchSci.  You will help design and implement ML-based approaches to analyze, extract and generate knowledge from complex biomedical data such as experimental protocols and from results from several heterogeneous sources, including both publicly available data and proprietary internal data, represented in unstructured text and knowledge graphs. You will work alongside some of the brightest minds in tech, leveraging state of the art approaches to deliver on BenSci’s mission to expedite drug discovery. Knowledge Enrichment is at the core of this challenge as it ensures we can reason over and gain insights from an extensive, accurate, and high quality representation of biomedical data. The data will be leveraged in order to enrich BenchSci’s knowledge graph through classification, discovery of high value implicit relationships, predicting novel insights/hypotheses, and other ML...

We are looking for a Senior Machine Learning Engineer to join our Knowledge Enrichment team at BenchSci.  You will help design and implement ML-based approaches to analyse, extract and generate knowledge from complex biomedical data such as experimental protocols and from results from several heterogeneous sources, including both publicly available data and proprietary internal data, represented in unstructured text and knowledge graphs. You will work alongside some of the brightest minds in tech, leveraging state of the art approaches to deliver on BenSci’s mission to expedite drug discovery. Knowledge Enrichment is at the core of this challenge as it ensures we can reason over and gain insights from an extensive, accurate, and high quality representation of biomedical data. The data will be leveraged in order to enrich BenchSci’s knowledge graph through classification, discovery of high value implicit relationships, predicting novel insights/hypotheses, and other ML...

We are looking for a Senior Machine Learning Engineer to join our new Knowledge Enrichment team at BenchSci.  You will help design and implement ML-based approaches to analyse, extract and generate knowledge from complex biomedical data such as experimental protocols and from results from several heterogeneous sources, including both publicly available data and proprietary internal data, represented in unstructured text and knowledge graphs.  The data will be leveraged in order to enrich BenchSci’s knowledge graph through classification, discovery of high value implicit relationships, predicting novel insights/hypotheses, and other ML techniques. You will collaborate with your team members in applying state of the art ML and graph ML/data science algorithms to this data.  You are comfortable working in a team that pushes the boundaries of what is possible with cutting edge ML/AI, challenges the status quo, is laser focused on value delivery in a fail-fast...

We are looking for a Senior Data Engineer to join our Knowledge Representation Team ! Reporting to the team’s Engineering Manager, you will evolve BenchSci’s Knowledge Graph , integrate public life science data into our biological ontology, iterate on data models in various data stores including graph DB, improve internal tooling to allow data self-service, and operationalize production-grade data pipelines. As part of this role, you'll collaborate with a world-class team, experience growth and mentorship, and apply data engineering solutions to shape the future of scientific discovery.   You Will: Scale data pipelines to allow our data to go from research to platform quickly and reliably Manage sources that contain both semi-structured and unstructured biological data that contribute to the evolution of BenchSci’s Knowledge Graph Integrate public life science data into the biological ontology in our Knowledge Graph Collaborate with ML, Data engineers, and...